1.Combination of Aβ40, Aβ42, and Tau Plasma Levels to Distinguish Amyloid-PET Positive Alzheimer Patients from Normal Controls
Seungyeop BAEK ; Jinny Claire LEE ; Byung Hyun BYUN ; Su Yeon PARK ; Jeong Ho HA ; Kyo Chul LEE ; Seung-Hoon YANG ; Jun-Seok LEE ; Seungpyo HONG ; Gyoonhee HAN ; Sang Moo LIM ; YoungSoo KIM ; Hye Yun KIM
Experimental Neurobiology 2025;34(1):1-8
Alzheimer disease (AD) diagnosis is confirmed using a medley of modalities, such as the detection of amyloid-β (Aβ) neuritic plaques and neurofibrillary tangles with positron electron tomography (PET) or the appraisal of irregularities in cognitive function with examinations. Although these methods have been efficient in confirming AD pathology, the rising demand for earlier intervention during pathogenesis has led researchers to explore the diagnostic potential of fluid biomarkers in cerebrospinal fluid (CSF) and plasma. Since CSF sample collection is invasive and limited in quantity, biomarker detection in plasma has become more attractive and modern advancements in technology has permitted more efficient and accurate analysis of plasma biomolecules. In this study, we found that a composite of standard factors, Aβ40 and total tau levels in plasma, divided by the variation factor, plasma Aβ42 level, provide better correlation with amyloid neuroimaging and neuropsychological test results than a level comparison between total tau and Aβ42 in plasma. We collected EDTA-treated blood plasma samples of 53 subjects, of randomly selected 27 AD patients and 26 normal cognition (NC) individuals, who received amyloid-PET scans for plaque quantification, and measured plasma levels of Aβ40, Aβ42, and total tau with digital enzyme-linked immunosorbent assay (ELISA) in a blinded manner. There was difficulty distinguishing AD patients from controls when analyzing biomarkers independently. However, significant differentiation was observed between the two groups when comparing individual ratios of total-tau×Aβ40/Aβ42. Our results indicate that collectively comparing fluctuations of these fluid biomarkers could aid in monitoring AD pathogenesis.
2.Combination of Aβ40, Aβ42, and Tau Plasma Levels to Distinguish Amyloid-PET Positive Alzheimer Patients from Normal Controls
Seungyeop BAEK ; Jinny Claire LEE ; Byung Hyun BYUN ; Su Yeon PARK ; Jeong Ho HA ; Kyo Chul LEE ; Seung-Hoon YANG ; Jun-Seok LEE ; Seungpyo HONG ; Gyoonhee HAN ; Sang Moo LIM ; YoungSoo KIM ; Hye Yun KIM
Experimental Neurobiology 2025;34(1):1-8
Alzheimer disease (AD) diagnosis is confirmed using a medley of modalities, such as the detection of amyloid-β (Aβ) neuritic plaques and neurofibrillary tangles with positron electron tomography (PET) or the appraisal of irregularities in cognitive function with examinations. Although these methods have been efficient in confirming AD pathology, the rising demand for earlier intervention during pathogenesis has led researchers to explore the diagnostic potential of fluid biomarkers in cerebrospinal fluid (CSF) and plasma. Since CSF sample collection is invasive and limited in quantity, biomarker detection in plasma has become more attractive and modern advancements in technology has permitted more efficient and accurate analysis of plasma biomolecules. In this study, we found that a composite of standard factors, Aβ40 and total tau levels in plasma, divided by the variation factor, plasma Aβ42 level, provide better correlation with amyloid neuroimaging and neuropsychological test results than a level comparison between total tau and Aβ42 in plasma. We collected EDTA-treated blood plasma samples of 53 subjects, of randomly selected 27 AD patients and 26 normal cognition (NC) individuals, who received amyloid-PET scans for plaque quantification, and measured plasma levels of Aβ40, Aβ42, and total tau with digital enzyme-linked immunosorbent assay (ELISA) in a blinded manner. There was difficulty distinguishing AD patients from controls when analyzing biomarkers independently. However, significant differentiation was observed between the two groups when comparing individual ratios of total-tau×Aβ40/Aβ42. Our results indicate that collectively comparing fluctuations of these fluid biomarkers could aid in monitoring AD pathogenesis.
3.Combination of Aβ40, Aβ42, and Tau Plasma Levels to Distinguish Amyloid-PET Positive Alzheimer Patients from Normal Controls
Seungyeop BAEK ; Jinny Claire LEE ; Byung Hyun BYUN ; Su Yeon PARK ; Jeong Ho HA ; Kyo Chul LEE ; Seung-Hoon YANG ; Jun-Seok LEE ; Seungpyo HONG ; Gyoonhee HAN ; Sang Moo LIM ; YoungSoo KIM ; Hye Yun KIM
Experimental Neurobiology 2025;34(1):1-8
Alzheimer disease (AD) diagnosis is confirmed using a medley of modalities, such as the detection of amyloid-β (Aβ) neuritic plaques and neurofibrillary tangles with positron electron tomography (PET) or the appraisal of irregularities in cognitive function with examinations. Although these methods have been efficient in confirming AD pathology, the rising demand for earlier intervention during pathogenesis has led researchers to explore the diagnostic potential of fluid biomarkers in cerebrospinal fluid (CSF) and plasma. Since CSF sample collection is invasive and limited in quantity, biomarker detection in plasma has become more attractive and modern advancements in technology has permitted more efficient and accurate analysis of plasma biomolecules. In this study, we found that a composite of standard factors, Aβ40 and total tau levels in plasma, divided by the variation factor, plasma Aβ42 level, provide better correlation with amyloid neuroimaging and neuropsychological test results than a level comparison between total tau and Aβ42 in plasma. We collected EDTA-treated blood plasma samples of 53 subjects, of randomly selected 27 AD patients and 26 normal cognition (NC) individuals, who received amyloid-PET scans for plaque quantification, and measured plasma levels of Aβ40, Aβ42, and total tau with digital enzyme-linked immunosorbent assay (ELISA) in a blinded manner. There was difficulty distinguishing AD patients from controls when analyzing biomarkers independently. However, significant differentiation was observed between the two groups when comparing individual ratios of total-tau×Aβ40/Aβ42. Our results indicate that collectively comparing fluctuations of these fluid biomarkers could aid in monitoring AD pathogenesis.
4.Combination of Aβ40, Aβ42, and Tau Plasma Levels to Distinguish Amyloid-PET Positive Alzheimer Patients from Normal Controls
Seungyeop BAEK ; Jinny Claire LEE ; Byung Hyun BYUN ; Su Yeon PARK ; Jeong Ho HA ; Kyo Chul LEE ; Seung-Hoon YANG ; Jun-Seok LEE ; Seungpyo HONG ; Gyoonhee HAN ; Sang Moo LIM ; YoungSoo KIM ; Hye Yun KIM
Experimental Neurobiology 2025;34(1):1-8
Alzheimer disease (AD) diagnosis is confirmed using a medley of modalities, such as the detection of amyloid-β (Aβ) neuritic plaques and neurofibrillary tangles with positron electron tomography (PET) or the appraisal of irregularities in cognitive function with examinations. Although these methods have been efficient in confirming AD pathology, the rising demand for earlier intervention during pathogenesis has led researchers to explore the diagnostic potential of fluid biomarkers in cerebrospinal fluid (CSF) and plasma. Since CSF sample collection is invasive and limited in quantity, biomarker detection in plasma has become more attractive and modern advancements in technology has permitted more efficient and accurate analysis of plasma biomolecules. In this study, we found that a composite of standard factors, Aβ40 and total tau levels in plasma, divided by the variation factor, plasma Aβ42 level, provide better correlation with amyloid neuroimaging and neuropsychological test results than a level comparison between total tau and Aβ42 in plasma. We collected EDTA-treated blood plasma samples of 53 subjects, of randomly selected 27 AD patients and 26 normal cognition (NC) individuals, who received amyloid-PET scans for plaque quantification, and measured plasma levels of Aβ40, Aβ42, and total tau with digital enzyme-linked immunosorbent assay (ELISA) in a blinded manner. There was difficulty distinguishing AD patients from controls when analyzing biomarkers independently. However, significant differentiation was observed between the two groups when comparing individual ratios of total-tau×Aβ40/Aβ42. Our results indicate that collectively comparing fluctuations of these fluid biomarkers could aid in monitoring AD pathogenesis.
5.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
6.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
7.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong- Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(1):1-23
8.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause: Part II
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):55-77
9.Corrigendum: 2023 Korean Society of Menopause - Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):126-126
10.Change of utilization of emergency department in children after lifting mask mandates in a single center in Korea
Chaeho SHIN ; Jong Seung LEE ; Hyung-Rae CHO ; Heejin JANG ; Jun Sung PARK ; Dahyun KIM ; Min Kyo CHUN ; Jeeho HAN ; Jeong-Min RYU
Pediatric Emergency Medicine Journal 2024;11(1):39-47
Purpose:
We aimed to investigate changes in visiting patterns after the lifting of mask mandates in a single pediatric emergency medical center in Seoul, Korea.
Methods:
This retrospective study was based on the data of patients’ (≤ 18 years) visits to the emergency department (ED) of the center from January 1, 2022 through June 30, 2023. Clinical characteristics, Korean Triage and Acuity Scale (KTAS) level, ED outcomes, and length of stay were compared between before (March 20-June 30, 2022) and after (March 20-June 30, 2023) the lifting of mask mandates. The comparisons were iterated in the patients with infectious disease.
Results:
During the study period, a total of 18,654 children visited the ED. After the lifting of mask mandates, ED visits increased from 7,146 to 11,508 (61.0%; 95% confidence interval, 59.5-62.6; P < 0.001). The increase was more prominent in the age of 2-5 years (82.9%), infectious diseases (175.3%), KTAS level 3 (127.7%), and length of stay shorter than 3 hours (78.8%-92.6%). The number of patients per hour increased by 151.2% for 5 patients or more and over 3,000% for 10 or more. Median length of stay decreased (2.3 hours [interquartile range, 1.2-4.1] to 1.9 hours [1.1-3.5]; P < 0.001). The patients with infectious disease (n = 7,139) showed similar patterns of increase in the age of 2-5 years, KTAS level 3, and length of stay shorter than 3 hours, with an additional increase in the age of 6-18 years.
Conclusion
After the lifting of mask mandates, pediatric visits increased by 61%, with the highest increase in children with mild infectious diseases on weekends and at night, and the proportion of more than 10 visits per hour significantly increased. We need urgent and realistic support measures from health authorities.

Result Analysis
Print
Save
E-mail